An approach to identify miRNA associated with cancer altered pathways

Giovanna Maria Ventola, Antonio Colaprico, Fulvio D'Angelo, Vittorio Colantuoni, Giuseppe Viglietto, Luigi Cerulo, Michele Ceccarelli

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

MicroRNAs play an important role in the regulation of gene expression by binding mRNA targets causing their degradation or blocking their translation. Several genes has been found to be implicated as miRNA targets in different types of malignant tumors suggesting their involvement in cancer pathogenesis. Detecting direct miRNA-targets associations is not straightforward as in principle targets expressions are not altered except when they are completely repressed by the degradation complex. In this paper we propose an approach to identify direct miRNA-targets associations hypotheses by means of indirect association measures such as mutual information. Indirect regulons of miRNA and Transcription Factors (TFs) are compared with the Fisher's exact test to identify potential co-regulations which may constitute potential miRNA-TF direct associations. We apply the method on two cancer datasets, Colon and Lung, drawn from the Cancer Genome Atlas (TGCA) obtaining promising results.

Original languageEnglish
Title of host publicationNew Trends in Image Analysis and Processing - ICIAP 2013 International Workshops, Proceedings
Pages399-408
Number of pages10
DOIs
Publication statusPublished - 11 Nov 2013
Externally publishedYes
Event17th International Conference on Image Analysis and Processing, ICIAP 2013 - Naples, Italy
Duration: 9 Sep 201313 Sep 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8158 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other17th International Conference on Image Analysis and Processing, ICIAP 2013
CountryItaly
CityNaples
Period9/9/1313/9/13

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Keywords

  • gene regulatory networks
  • miRNA
  • reverse engineering

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Ventola, G. M., Colaprico, A., D'Angelo, F., Colantuoni, V., Viglietto, G., Cerulo, L., & Ceccarelli, M. (2013). An approach to identify miRNA associated with cancer altered pathways. In New Trends in Image Analysis and Processing - ICIAP 2013 International Workshops, Proceedings (pp. 399-408). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 8158 LNCS). https://doi.org/10.1007/978-3-642-41190-8_43